Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Optimal illumination for three-image photometric stereo using sensitivity analysis

Optimal illumination for three-image photometric stereo using sensitivity analysis

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings - Vision, Image and Signal Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The optimal placement of the illumination for three-image photometric stereo acquisition of smooth and rough surface textures with respect to camera noise is derived and verified experimentally. The sensitivities of the scaled surface normal elements are derived and used to provide expressions for the noise variances. An overall figure of merit is developed by considering the image-based rendering (i.e. relighting) of Lambertian surfaces. This metric is optimised numerically with respect to the illumination angles. An orthogonal configuration was found to be optimal. With regard to constant slant, the optimal separation between the tilt angles of successive illumination vectors was found to be 120°. The optimal slant angle was found to be 90° for smooth surface textures and 55° for rough surface textures.

References

    1. 1)
      • Gullón, C.: `Height recovery of rough surfaces from intensity images', 2002, PhD, Heriot-Watt University, School of Engineering and Physical Sciences.
    2. 2)
      • Schlüns, K.: `Shading based 3D shape recovery in the presence of shadows', Proc. First Joint Australia & New Zealand Biennial Conf. on Digital Image & Vision Computing: Techniques and Applications, 1997, p. 195–200.
    3. 3)
      • T. Yamada , H. Saito , S. Ozawa . 3D reconstruction of skin surface from image sequence. Proc. MVA98: Workshop of Machine Vision Applications , 384 - 387
    4. 4)
      • A. Saltelli , K. Chan , E.M. Scott . (2000) Sensitivity analysis.
    5. 5)
      • R.T. Frankot , R. Chellappa . A method for enforcing integrability in shape from shading algorithms. IEEE Trans. Pattern Anal. Mach. Intell. , 4 , 439 - 451
    6. 6)
    7. 7)
      • Lee, K., Ho, J., Kriegman, D.: `Nine points of light: acquiring subspaces for face recognition under variable lighting', Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 2001, p. 519–526.
    8. 8)
    9. 9)
      • H. Rushmeier , G. Taubin , A. Gueziec . Applying shape from lighting variation to bump map capture. Proc. Eurographics Rendering Workshop , 35 - 44
    10. 10)
      • R.J. Woodham . Photometric method for determining surface orientation from multiple images. Opt. Eng. , 1 , 139 - 144
    11. 11)
      • J.A. Nelder , R. Mead . A simplex method for function minimisation. Comput. J. , 4 , 308 - 313
    12. 12)
    13. 13)
      • Spence, A.D.: `Calibrated and uncalibrated photometric stereo for surface texture acquisition', 2005, PhD, Heriot-Watt University, School of Mathematical and Computer Sciences.
    14. 14)
    15. 15)
      • E.N. Coleman , R. Jain . Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry. Comput. Graph. Image Process. , 309 - 328
    16. 16)
      • W.H. Press , S.A. Teukolsky , W.T. Vetterling , B.P. Flannery . (1996) Numerical recipes in C.
    17. 17)
      • K.M. Lee , C.C.J. Kuo . Surface reconstruction from photometric stereo images. J. Opt. Soc. Am. A , 5 , 855 - 868
    18. 18)
      • McGunnigle, G.: `The classification of texture surfaces under varying illumination direction', 1998, PhD, Heriot-Watt University, Department of Computing and Electrical Engineering.
    19. 19)
      • Spence, A.D., Chantler, M.J.: `Optimal illumination for three-image photometric stereo acquisition of surface texture', Proc. 3rd Int. Workshop on Texture Analysis and Synthesis, 2003, p. 89–94.
    20. 20)
      • P. Hansson , P.-Ǻ. Johansson . Topography and reflectance analysis of paper surfaces using a photometric stereo method. Opt. Eng. , 9 , 2555 - 2561
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-vis_20050229
Loading

Related content

content/journals/10.1049/ip-vis_20050229
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address